sample size r02548045 蘇宸瑩 d02548002 蔡靜雯 2014.12.03

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Sample Size R02548045 蘇蘇蘇 D02548002 蘇蘇蘇 2014.12.03

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Page 1: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Sample Size

R02548045 蘇宸瑩D02548002 蔡靜雯

2014.12.03

Page 2: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Biocompatibility (ISO 10993)

Part 3. Tests for genotoxicity, carcinogenicity and reproductive toxicity

Part 4. Selection of tests for interactions with blood

Part 5. Tests for in vitro cytotoxicity

Part 10. Tests for irritation and delayed-type hypersensitivity

Part 11. Tests for systemic toxicity

Page 3: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Cytotoxicity (ISO 10993-5)

Sample preparationa) an extract of the test sampleb) the test sample itself.

Page 4: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Experiment I (N=1)

PU gel

(Cross-link: A > B)

Extraction: 37°C, 24 hours

Cell: human fibroblasts

(Seeding density: 2000/cm2)

n = 4

** p < 0.01 (Student’s t-test)Control A B

Abs

orba

nce

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7 **

Page 5: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Experiment I & II (N=2)

Problem:

How do we analyze these data for significant results?

Control A B

Abs

orba

nce

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Control A BA

bsor

banc

e

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35** **

Page 6: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

PCR used to amplify a few copies of a piece of DNA across several orders of magnitude, generating thousands to millions of copies of a particular DNA sequence.

Polymerase Chain Reaction (PCR)

Denaturation

Annealing Elongation

Page 7: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Reverse transcription PCR

DNA→ PCR (amplify) → Gel electrophoresis

Page 8: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Real-time PCR

Also called quantitative PCR, Q-PCR

Page 9: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Fluoroance

SYBR Green 1 dye

TagMan® probe

Page 10: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Amplification plot

Page 11: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Relative Quantification

Page 12: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Data analysis

Δ Ct = Ct(T) – Ct(E)

ΔΔCt = ΔCt(S) – ΔCt(Ctrl)

Copy number = 2 - ΔΔCt

Example:

T : Target geneE : Endogenous gene

(internal control)S : SampleCtrl : Control

c- Myc GAPDH Δ Ct Δ Δ Ct

T = 0 25 10 15 0

T = 12 hr 24 10 14 -1

T = 24 hr 23 11 12 -3

T = 48 hr 28 10 18 3

Page 13: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Experiment I & II (N=2)

Problem:

How do we analyze these data for significant results?

Control A B

Abs

orba

nce

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

Control A BA

bsor

banc

e

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35** **

Page 14: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

  control A B

  OD cells OD /cells OD cells OD /cells OD cells OD /cells

  0.601 95000 6.328E-06 0.583 94500 6.165E-06 0.442 90000 4.916E-06

  0.584 94800 6.158E-06 0.594 94000 6.317E-06 0.461 88000 5.240E-06

  0.599 95300 6.282E-06 0.594 95200 6.238E-06 0.479 89000 5.387E-06

  0.577 94900 6.079E-06 0.581 95430 6.085E-06 0.447 86000 5.200E-06

Average     6.212E-06     6.201E-06     5.185E-06

exp./control     1      0.998     0.835

  control A B

  OD cells OD /cells OD cells OD /cells OD cells OD /cells

  0.299 72000 4.151E-06 0.313 70000 4.466E-06 0.265 75000 3.532E-06

  0.296 72500 4.087E-06 0.318 68000 4.674E-06 0.258 76000 3.399E-06

  0.318 71000 4.477E-06 0.282 69000 4.084E-06 0.278 78000 3.565E-06

  0.301 72600 4.152E-06 0.305 73000 4.181E-06 0.272 75000 3.631E-06

Average     4.217E-06     4.351E-06     3.532E-06

exp./control     1      1.032     0.838

Experiment I

Experiment II

Page 15: Sample Size R02548045 蘇宸瑩 D02548002 蔡靜雯 2014.12.03

Control A B

Rel

ativ

e O

.D./c

ells

(ex

p./c

ontr

ol)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Control A B

Rel

ativ

e O

.D./c

ells

(ex

p./c

ontr

ol)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Control A B

Rel

ativ

e O

.D./c

ells

(ex

p./c

ontr

ol)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Experiment I

Experiment II

Experiment I + II